I vote for police not robots. I vote for more training of police to solve problems via conflict resolution in addition to law enforcement. The society is more complex today, young people are not getting the proper role modelling they need and escaping into iPhones and making mistakes as they have no idea how to BE in a community.
There are many structural factors that feed into anti-social behaviour, drug abuse, unemployment and loss of self. These are the drivers of crime, disrespect and deep hurt that many do not reveal. Many homeless are angry at themselves, feel vulnerable and put up a front to appear tough, but deep down they are scared. We need to understand the social emotional landscape which no robot can possibly understand.
Dogs are being chipped and tracked in the name of not losing your dog. I see it as experimentation leading up to the chipping of people. The previous blog spoke to AI, SMART cities and 5G, Mark Steele, a weapons expert makes clear it is weaponised and this creates risks to human health and safety. Chipping means drones can target no matter where you are. Think of the murdered Ukrainians treated as cannon fodder not respect by those profiting from false flag wars. They are indeed hacking the brain. How do people feel to know that their thoughts are gathered. This is where Thought Police comes in. These are themes from George Orwell’s 1984. Refer https://bookanalysis.com/1984/thought-police/
A quote from the analysis of 1984:
It’s the job of the Thought Police to spy on the citizens of Oceania. They do so by looking through the telescreens (or televisions) in everyone’s home, reading peoples’ body language, listening to the tenor of their speech, and reading facial expressions. When writing about the Thought Police towards the beginning of the novel, Orwell penned the following quote in 1984:
Any sound that Winston made, above the level of a very low whisper, would be picked up by the telescreen; moreover, so long as he remained within the field of vision which the metal plaque commanded, he could be seen as well as heard. There was, of course, no way of knowing whether you were being watched at any given moment. How often, or on what system, the Thought Police plugged in on any individual wire was guesswork.
I do not consent to being chipped as I want and NEED my privacy. I am not an object, I am not a corporate actor. I am not owned by anyone, I come under devine lore. I am a living breathing woman and under divine lore I am self determining. I am not created by biotechnology no matter changes to DNA and biology. This is done quietly without consent. We have scientists going for the money (patents) and not driven by a desire to advance humanity. We have biotech millionaires such as Elon Musk who calls his children ‘batches’, has them wear all ‘white’ and conveying no personal identity. I am told he has chipped his kids. Adults could be tempted to do this but they condemn their children to a live of being controlled not free to live their own lives and allow life to take its course. We cannot force life or death, we can only support and share with them imparting the wisdom to make their own decisions and learn from mistakes.
There are karmic implications for those engaging in harm against humanity. These shifts will increasingly occur as any form of violence is out of alignment with nature (Gaia is living and breathing and senses all change). The earth systems are highly sensitive and human activity is not in harmony. If we created ecovillages that were self determining, zero energy, as the public learn how to work and live together in a community. Governance is not unlike indigenous elders or wise counsel. What happens is a a peaceful society, corrected when anti-social, emerges as we learn responsibility and sharing. This is a community that does not need to be controlled or surveilled by foreign actors who care nothing for public wellbeing and happiness.
If you want peace, model it. If you want non-violence then don’t be violent. If you want to be loved then love others. If you want freedom give it. If you want respect then give respect to another. Give away what you want and it returns. That is a natural lore. Nature brings to you what you put out into the world as your vote. What you think about you bring about in life and that is the reality of change that is not predictable even by AI.
Whence Chip Implants: From Brain Bluetooth To ‘Full RoboCop”

(© tino – stock.adobe.com)
Posted By: Amin Al-Habaibeh via Study Finds April 14, 2025
Please Share This Story!Download this post…Brain Bluetooth, providing near real-time access to the brain, might be the key to “planted memories and built-in trained skills supported with internet connectivity.” Of course, the chatter about this kind of breakthrough is all about helping the paralyzed but the darker Technocrat agenda is about controlling the human brain in the first place; in other words, “hacking the brain.” ⁃ Patrick Wood, Editor.
In the 1987 classic film RoboCop, the deceased Detroit cop Alex Murphy is reborn as a cyborg. He has a robotic body and a full brain-computer interface that allows him to control his movements with his mind. He can access online information such as suspects’ faces, uses artificial intelligence (AI) to help detect threats, and his human memories have been integrated with those from a machine.
It is remarkable to think that the movie’s key mechanical robotic technologies have almost now been accomplished by the likes of Boston Dynamics’ running, jumping Atlas and Kawasaki’s new four-legged Corleo. Similarly we are seeing robotic exoskeletons that enable paralyzed patients to do things like walking and climbing stairs by responding to their gestures.
Developers have lagged behind when it comes to building an interface in which the brain’s electrical pulses can communicate with an external device. This too is changing, however.
In the latest breakthrough, a research team based at the University of California has unveiled a brain implant that enabled a woman with paralysis to livestream her thoughts via AI into a synthetic voice with just a three-second delay.
The concept of an interface between neurons and machines goes back much further than RoboCop. In the 18th century, an Italian physician named Luigi Galvani discovered that when electricity is passed through certain nerves in a frog’s leg, it would twitch. This paved the way for the whole study of electrophysiology, which looks at how electrical signals affect organisms.
The initial modern research on brain-computer interfaces started in the late 1960s, with the American neuroscientist Eberhard Fetz hooking up monkeys’ brains to electrodes and showing that they could move a meter needle. Yet if this demonstrated some exciting potential, the human brain proved too complex for this field to advance quickly.
The brain is continually thinking, learning, memorizing, recognizing patterns and decoding sensory signals – not to mention coordinating and moving our bodies. It runs on about 86 billion neurons with trillions of connections which process, adapt and evolve continuously in what is called neuroplasticity. In other words, there’s a great deal to figure out.
Much of the recent progress has been based on advances in our ability to map the brain, identifying the various regions and their activities. A range of technologies can produce insightful images of the brain (including functional magnetic resonance imaging (fMRI) and positron emission tomography (PET)), while others monitor certain kinds of activity (including electroencephalography (EEG) and the more invasive electrocortigraphy (ECoG)).
These techniques have helped researchers to build some incredible devices, including wheelchairs and prosthetics that can be controlled by the mind.
But whereas these are typically controlled with an external interface like an EEG headset, chip implants are very much the new frontier. They have been enabled by advances in AI chips and micro electrodes, as well as the deep learning neural networks that power today’s AI technology. This allows for faster data analysis and pattern recognition, which together with the more precise brain signals that can be acquired using implants, have made it possible to create applications that run virtually in real-time.
For instance, the new University of California implant relies on ECoG, a technique developed in the early 2000s that captures patterns directly from a thin sheet of electrodes placed directly on the cortical surface of someone’s brain.
In their case, the complex patterns picked up by the implant of 253 high-density electrodes are processed using deep learning to produce a matrix of data from which it’s possible to decode whatever words the user is thinking. This improves on previous models that could only create synthetic speech after the user had finished a sentence.
Elon Musk’s Neuralink has been able to get patients to control a computer cursor using similar techniques. However, it’s also worth emphasizing that deep learning neural networks are enabling more sophisticated devices that rely on other forms of brain monitoring.
Our research team at Nottingham Trent University has developed an affordable brainwave reader using off-the-shelf parts that enables patients who are suffering from conditions like completely locked-in syndrome (CLIS) or motor neurone disease (MND) to be able to answer “yes” or “no” to questions. There’s also the potential to control a computer mouse using the same technology.
The future
The progress in AI, chip fabrication and biomedical tech that enabled these developments is expected to continue in the coming years, which should mean that brain-computer interfaces keep improving.
In the next ten years, we can expect more technologies that provide disabled people with independence by helping them to move and communicate more easily. This entails improved versions of the technologies that are already emerging, including exoskeletons, mind-controlled prosthetics and implants that move from controlling cursors to fully controlling computers or other machines. In all cases, it will be a question of balancing our increasing ability to interpret high-quality brain data with invasiveness, safety and costs.
It is still more in the medium to long term that I would expect to see many of the capabilities of a RoboCop, including planted memories and built-in trained skills supported with internet connectivity. We can also expect to see high-speed communication between people via “brain Bluetooth.”
It should be similarly possible to create a Six Million Dollar Man, with enhanced vision, hearing and strength, by implanting the right sensors and linking the right components to convert neuron signals into action (actuators). No doubt applications will also emerge as our understanding of brain functionality increases that haven’t been thought of yet.
Clearly, it will soon become impossible to keep deferring ethical considerations. Could our brains be hacked, and memories be planted or deleted? Could our emotions be controlled? Will the day come where we need to update our brain software and press restart?
With every step forward, questions like these become ever more pressing. The major technological obstacles have essentially been cleared out of the way. It’s time to start thinking about to what extent we want to integrate these technologies into society, the sooner the better.
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